Overview

Dataset statistics

Number of variables20
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.2 KiB
Average record size in memory160.3 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:49:02.177691
Analysis finished2020-08-25 00:50:03.556615
Duration1 minute and 1.38 second
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
oz48 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.3049145695684957e-09
Minimum-1.7206463813781738
Maximum1.7294044494628906
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:03.787460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.720646381
5-th percentile-1.557825041
Q1-0.8763231933
median0.02510508569
Q30.8911177069
95-th percentile1.552147841
Maximum1.729404449
Range3.450050831
Interquartile range (IQR)1.7674409

Descriptive statistics

Standard deviation0.9999999983
Coefficient of variation (CV)-302579681.6
Kurtosis-1.246083719
Mean-3.30491457e-09
Median Absolute Deviation (MAD)0.8846330345
Skewness0.006805335083
Sum-1.652457285e-06
Variance0.9999999965
2020-08-25T00:50:03.893786image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.930662214810.2%
 
1.04755055910.2%
 
0.942910790410.2%
 
0.866520881710.2%
 
1.35218298410.2%
 
0.056965291510.2%
 
0.170732751510.2%
 
-0.752271771410.2%
 
-0.932937502910.2%
 
-1.14322805410.2%
 
0.666342377710.2%
 
0.960603117910.2%
 
-1.06121468510.2%
 
0.36609910.2%
 
1.35151851210.2%
 
1.6452126510.2%
 
1.58057403610.2%
 
0.599953472610.2%
 
1.49873685810.2%
 
-1.69791519610.2%
 
0.68198949110.2%
 
-0.459296226510.2%
 
0.601919531810.2%
 
-1.186263810.2%
 
1.1215580710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72064638110.2%
 
-1.7110234510.2%
 
-1.70195412610.2%
 
-1.69791519610.2%
 
-1.69172787710.2%
 
-1.68260657810.2%
 
-1.68188381210.2%
 
-1.67488825310.2%
 
-1.66716527910.2%
 
-1.66433882710.2%
 
ValueCountFrequency (%) 
1.72940444910.2%
 
1.71823275110.2%
 
1.71726024210.2%
 
1.70504248110.2%
 
1.70481228810.2%
 
1.70056545710.2%
 
1.6708769810.2%
 
1.6595200310.2%
 
1.65027964110.2%
 
1.64654111910.2%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.820510417222977e-09
Minimum-1.726498246192932
Maximum1.688428521156311
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:04.012052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.726498246
5-th percentile-1.511257535
Q1-0.9046970159
median-0.03250751179
Q30.8323879689
95-th percentile1.536205155
Maximum1.688428521
Range3.414926767
Interquartile range (IQR)1.737084985

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-354545757.3
Kurtosis-1.211604221
Mean-2.820510417e-09
Median Absolute Deviation (MAD)0.8726198049
Skewness0.01139961812
Sum-1.410255209e-06
Variance1.000000004
2020-08-25T00:50:04.115089image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.64062130510.2%
 
-0.272620409710.2%
 
-0.150463417210.2%
 
-0.146388426410.2%
 
0.110022500210.2%
 
-1.51036238710.2%
 
1.50457477610.2%
 
1.29943025110.2%
 
1.52208733610.2%
 
-1.52826535710.2%
 
-0.130538761610.2%
 
-0.517885088910.2%
 
-0.299959212510.2%
 
0.81379294410.2%
 
-1.16301274310.2%
 
1.5818684110.2%
 
1.26162314410.2%
 
-0.639970123810.2%
 
0.502275943810.2%
 
-1.01559698610.2%
 
-1.22721481310.2%
 
-1.25456488110.2%
 
-0.096110619610.2%
 
1.63998353510.2%
 
0.0953330993710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72649824610.2%
 
-1.72419512310.2%
 
-1.71958255810.2%
 
-1.70247423610.2%
 
-1.69964015510.2%
 
-1.6929968610.2%
 
-1.69209194210.2%
 
-1.68195700610.2%
 
-1.67172431910.2%
 
-1.67059814910.2%
 
ValueCountFrequency (%) 
1.68842852110.2%
 
1.6586561210.2%
 
1.65596413610.2%
 
1.64775693410.2%
 
1.64719617410.2%
 
1.64306783710.2%
 
1.64066946510.2%
 
1.64015674610.2%
 
1.63998353510.2%
 
1.6187599910.2%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5285407900810243e-10
Minimum-1.6727447509765625
Maximum1.6866998672485352
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:04.232202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.672744751
5-th percentile-1.519332319
Q1-0.8631797731
median0.01327612717
Q30.8888476491
95-th percentile1.494016719
Maximum1.686699867
Range3.359444618
Interquartile range (IQR)1.752027422

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)3954850184
Kurtosis-1.285474903
Mean2.52854079e-10
Median Absolute Deviation (MAD)0.8762120334
Skewness-0.01317856075
Sum1.264270395e-07
Variance1.000000002
2020-08-25T00:50:04.340866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.44563376910.2%
 
1.21419048310.2%
 
-0.539371490510.2%
 
-1.25257623210.2%
 
1.4947655210.2%
 
0.553350746610.2%
 
0.193437874310.2%
 
-0.378174543410.2%
 
1.44015300310.2%
 
-1.34829354310.2%
 
-0.747042119510.2%
 
-1.04556477110.2%
 
-0.195881426310.2%
 
0.945635378410.2%
 
-0.195475220710.2%
 
-0.0601562783110.2%
 
-0.239943385110.2%
 
-1.14052915610.2%
 
0.676092743910.2%
 
-1.63213598710.2%
 
0.580417394610.2%
 
-0.320013523110.2%
 
-0.258710980410.2%
 
1.33504210.2%
 
0.456715673210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.67274475110.2%
 
-1.66925370710.2%
 
-1.66576015910.2%
 
-1.65818834310.2%
 
-1.64308285710.2%
 
-1.63213598710.2%
 
-1.63025045410.2%
 
-1.62880194210.2%
 
-1.62411260610.2%
 
-1.62058389210.2%
 
ValueCountFrequency (%) 
1.68669986710.2%
 
1.68601381810.2%
 
1.66997933410.2%
 
1.6694176210.2%
 
1.65650594210.2%
 
1.65641939610.2%
 
1.65502476710.2%
 
1.65270209310.2%
 
1.64351379910.2%
 
1.62869620310.2%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4696270227432252e-09
Minimum-1.7451268434524536
Maximum1.6239501237869265
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:04.458028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.745126843
5-th percentile-1.520231432
Q1-0.9288602024
median0.03718537092
Q30.8724766672
95-th percentile1.487542504
Maximum1.623950124
Range3.369076967
Interquartile range (IQR)1.80133687

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)680444755.3
Kurtosis-1.272827644
Mean1.469627023e-09
Median Absolute Deviation (MAD)0.8625331223
Skewness-0.04061811998
Sum7.348135114e-07
Variance0.9999999998
2020-08-25T00:50:04.561868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.14945733510.2%
 
1.14128410810.2%
 
0.190984383210.2%
 
0.650694549110.2%
 
1.61193704610.2%
 
0.779602944910.2%
 
0.347053378810.2%
 
-1.11852216710.2%
 
0.625309944210.2%
 
0.390292435910.2%
 
-0.429357141310.2%
 
0.927078485510.2%
 
1.61197137810.2%
 
0.198567107310.2%
 
0.0208027884410.2%
 
-0.350851237810.2%
 
-0.732405960610.2%
 
0.485028594710.2%
 
-1.33660137710.2%
 
1.41362023410.2%
 
-0.281418025510.2%
 
0.605775356310.2%
 
-1.14130318210.2%
 
1.21497571510.2%
 
-1.48310697110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.74512684310.2%
 
-1.73405909510.2%
 
-1.73132431510.2%
 
-1.71187782310.2%
 
-1.67617702510.2%
 
-1.6684904110.2%
 
-1.66132485910.2%
 
-1.6584224710.2%
 
-1.65795385810.2%
 
-1.64976799510.2%
 
ValueCountFrequency (%) 
1.62395012410.2%
 
1.61997544810.2%
 
1.61697363910.2%
 
1.61437416110.2%
 
1.61197137810.2%
 
1.61193704610.2%
 
1.60872304410.2%
 
1.6025711310.2%
 
1.59821581810.2%
 
1.59209644810.2%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.502959877252579e-10
Minimum-1.7460788488388062
Maximum1.79673433303833
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:04.683046image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.746078849
5-th percentile-1.576507622
Q1-0.8695658147
median-0.01977585442
Q30.8590961844
95-th percentile1.576403123
Maximum1.796734333
Range3.542813182
Interquartile range (IQR)1.728661999

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1537761295
Kurtosis-1.184123949
Mean-6.502959877e-10
Median Absolute Deviation (MAD)0.8656767011
Skewness0.001205163107
Sum-3.251479939e-07
Variance1.000000001
2020-08-25T00:50:04.787821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.353027164910.2%
 
0.183193355810.2%
 
-1.00063633910.2%
 
0.323402166410.2%
 
0.242756977710.2%
 
1.72721612510.2%
 
0.955695271510.2%
 
0.0442887060310.2%
 
-1.44011628610.2%
 
-1.06317055210.2%
 
-1.01629698310.2%
 
-1.60419285310.2%
 
0.806979417810.2%
 
-1.4099904310.2%
 
-0.15975385910.2%
 
-0.0292248427910.2%
 
-0.274607807410.2%
 
0.130315735910.2%
 
0.901009559610.2%
 
-0.385922163710.2%
 
1.60814404510.2%
 
-1.0026820910.2%
 
1.12573289910.2%
 
-0.123703420210.2%
 
0.79236328610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.74607884910.2%
 
-1.7160031810.2%
 
-1.70301175110.2%
 
-1.69592881210.2%
 
-1.6943476210.2%
 
-1.69311833410.2%
 
-1.69280719810.2%
 
-1.68598878410.2%
 
-1.67817115810.2%
 
-1.6721795810.2%
 
ValueCountFrequency (%) 
1.79673433310.2%
 
1.74845635910.2%
 
1.72721612510.2%
 
1.72407865510.2%
 
1.72381889810.2%
 
1.71113240710.2%
 
1.70398008810.2%
 
1.69947385810.2%
 
1.69689047310.2%
 
1.69647562510.2%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.058245733380317e-10
Minimum-1.625223994255066
Maximum1.6815398931503296
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:04.904617image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.625223994
5-th percentile-1.481063074
Q1-0.8677397221
median-0.01841412112
Q30.8818832487
95-th percentile1.561192983
Maximum1.681539893
Range3.306763887
Interquartile range (IQR)1.749622971

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1976969987
Kurtosis-1.275968686
Mean-5.058245733e-10
Median Absolute Deviation (MAD)0.8770583086
Skewness0.07204482206
Sum-2.529122867e-07
Variance1
2020-08-25T00:50:05.009081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.659323513510.2%
 
-0.758128702610.2%
 
-1.54550182810.2%
 
-0.0251434110110.2%
 
-1.23300802710.2%
 
-0.759083628710.2%
 
-0.446438252910.2%
 
1.0563865910.2%
 
0.859476089510.2%
 
-1.50060510610.2%
 
0.168533176210.2%
 
-0.812805175810.2%
 
1.5924233210.2%
 
0.860399842310.2%
 
0.858713626910.2%
 
-1.61782419710.2%
 
1.46553814410.2%
 
1.56118559810.2%
 
1.26228070310.2%
 
0.358560532310.2%
 
-0.681965708710.2%
 
-0.247965455110.2%
 
-1.53571045410.2%
 
1.67701542410.2%
 
0.10371848210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.62522399410.2%
 
-1.61782419710.2%
 
-1.61677014810.2%
 
-1.6060084110.2%
 
-1.60579860210.2%
 
-1.584505210.2%
 
-1.5836081510.2%
 
-1.57965087910.2%
 
-1.5796432510.2%
 
-1.56378638710.2%
 
ValueCountFrequency (%) 
1.68153989310.2%
 
1.6812826410.2%
 
1.67780697310.2%
 
1.67701542410.2%
 
1.67489135310.2%
 
1.67418229610.2%
 
1.65802395310.2%
 
1.65535473810.2%
 
1.65492963810.2%
 
1.65438449410.2%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4281831681728364e-09
Minimum-1.6812115907669067
Maximum1.68149995803833
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:05.124776image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.681211591
5-th percentile-1.457434803
Q1-0.9119962752
median-0.06315472163
Q30.8941590339
95-th percentile1.556075829
Maximum1.681499958
Range3.362711549
Interquartile range (IQR)1.806155309

Descriptive statistics

Standard deviation0.9999999958
Coefficient of variation (CV)-700190296.3
Kurtosis-1.261395534
Mean-1.428183168e-09
Median Absolute Deviation (MAD)0.8750819564
Skewness0.06799581417
Sum-7.140915841e-07
Variance0.9999999915
2020-08-25T00:50:05.229211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.04491472210.2%
 
-1.32486915610.2%
 
-1.44395077210.2%
 
-0.520804464810.2%
 
-1.06505167510.2%
 
1.29943001310.2%
 
-0.699521243610.2%
 
0.893708705910.2%
 
-0.320668667610.2%
 
1.38343679910.2%
 
-0.502267301110.2%
 
-0.0946757942410.2%
 
0.137530550410.2%
 
-0.474280536210.2%
 
1.12352335510.2%
 
1.02082717410.2%
 
1.56321585210.2%
 
0.245688140410.2%
 
-0.520840406410.2%
 
1.28218352810.2%
 
-0.243247777210.2%
 
-1.1887785210.2%
 
1.66143345810.2%
 
-1.22333514710.2%
 
0.191003084210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68121159110.2%
 
-1.67904424710.2%
 
-1.67508220710.2%
 
-1.67398703110.2%
 
-1.6712417610.2%
 
-1.66588854810.2%
 
-1.65420734910.2%
 
-1.65224862110.2%
 
-1.64807319610.2%
 
-1.64470756110.2%
 
ValueCountFrequency (%) 
1.68149995810.2%
 
1.67353558510.2%
 
1.66853725910.2%
 
1.66571724410.2%
 
1.66371214410.2%
 
1.66143345810.2%
 
1.64967429610.2%
 
1.64938747910.2%
 
1.63913834110.2%
 
1.63835644710.2%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.9511207938194274e-10
Minimum-1.7891387939453125
Maximum1.675026535987854
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:05.346618image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.789138794
5-th percentile-1.585759008
Q1-0.8864955306
median0.02582724951
Q30.8420680165
95-th percentile1.535525191
Maximum1.675026536
Range3.46416533
Interquartile range (IQR)1.728563547

Descriptive statistics

Standard deviation0.9999999965
Coefficient of variation (CV)-5125259285
Kurtosis-1.176014797
Mean-1.951120794e-10
Median Absolute Deviation (MAD)0.8522365689
Skewness-0.0343772995
Sum-9.755603969e-08
Variance0.9999999929
2020-08-25T00:50:05.448092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.810545921310.2%
 
-1.76630389710.2%
 
-0.0485431328410.2%
 
1.4342435610.2%
 
1.41471457510.2%
 
-1.25339245810.2%
 
-0.546226739910.2%
 
-0.598816037210.2%
 
0.697595655910.2%
 
0.831764936410.2%
 
1.24347293410.2%
 
-1.06707525310.2%
 
-0.26676943910.2%
 
-1.49365234410.2%
 
0.516940712910.2%
 
1.43457853810.2%
 
0.641102969610.2%
 
1.63407838310.2%
 
0.853861987610.2%
 
-0.295585036310.2%
 
0.757069349310.2%
 
0.170987084510.2%
 
0.0235402174310.2%
 
-1.78782677710.2%
 
-0.69567221410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.78913879410.2%
 
-1.78831863410.2%
 
-1.78782677710.2%
 
-1.78108072310.2%
 
-1.77906155610.2%
 
-1.76630389710.2%
 
-1.76147878210.2%
 
-1.7612212910.2%
 
-1.71466779710.2%
 
-1.71430587810.2%
 
ValueCountFrequency (%) 
1.67502653610.2%
 
1.67349231210.2%
 
1.65672218810.2%
 
1.65572035310.2%
 
1.65350711310.2%
 
1.65068149610.2%
 
1.64935612710.2%
 
1.63407838310.2%
 
1.62490224810.2%
 
1.62324452410.2%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1525116860866547e-09
Minimum-1.7230125665664673
Maximum1.7204405069351196
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:05.561208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.723012567
5-th percentile-1.510378331
Q1-0.9280770421
median0.05880374461
Q30.8361183852
95-th percentile1.576177627
Maximum1.720440507
Range3.443453074
Interquartile range (IQR)1.764195427

Descriptive statistics

Standard deviation0.9999999984
Coefficient of variation (CV)-867670159.4
Kurtosis-1.248104402
Mean-1.152511686e-09
Median Absolute Deviation (MAD)0.8800379038
Skewness-0.009479195596
Sum-5.76255843e-07
Variance0.9999999968
2020-08-25T00:50:05.666631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.09179484810.2%
 
0.363948881610.2%
 
1.20184016210.2%
 
1.64910709910.2%
 
-1.28583514710.2%
 
1.26552724810.2%
 
1.39326190910.2%
 
0.532568931610.2%
 
0.765435874510.2%
 
-1.13740634910.2%
 
-0.984722316310.2%
 
-1.46049809510.2%
 
-1.52414226510.2%
 
1.05149126110.2%
 
-0.193693086510.2%
 
0.548126041910.2%
 
0.982814431210.2%
 
-0.489659756410.2%
 
0.681028246910.2%
 
0.228851407810.2%
 
1.62769424910.2%
 
-0.488084971910.2%
 
-1.63322043410.2%
 
-0.00615985412210.2%
 
0.820120096210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72301256710.2%
 
-1.71853315810.2%
 
-1.71668112310.2%
 
-1.71642184310.2%
 
-1.71472322910.2%
 
-1.70269632310.2%
 
-1.68560624110.2%
 
-1.67326188110.2%
 
-1.66601097610.2%
 
-1.66249978510.2%
 
ValueCountFrequency (%) 
1.72044050710.2%
 
1.71834993410.2%
 
1.71671438210.2%
 
1.71200835710.2%
 
1.70213985410.2%
 
1.69937825210.2%
 
1.69329512110.2%
 
1.67685699510.2%
 
1.67449474310.2%
 
1.67072427310.2%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.854534149169922e-10
Minimum-1.7923834323883057
Maximum1.6824121475219729
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:05.783390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.792383432
5-th percentile-1.595270127
Q1-0.8450390846
median-0.01311783073
Q30.9169825763
95-th percentile1.509069365
Maximum1.682412148
Range3.47479558
Interquartile range (IQR)1.762021661

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)-1458888348
Kurtosis-1.211541691
Mean-6.854534149e-10
Median Absolute Deviation (MAD)0.8743574619
Skewness-0.0532060359
Sum-3.427267075e-07
Variance0.9999999998
2020-08-25T00:50:05.887156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.276854544910.2%
 
0.105756238110.2%
 
0.0121933696810.2%
 
0.40716677910.2%
 
-0.693862557410.2%
 
-1.36586844910.2%
 
0.647780597210.2%
 
0.768457233910.2%
 
-1.58073520710.2%
 
1.20248222410.2%
 
0.259443849310.2%
 
0.717131018610.2%
 
-0.63063579810.2%
 
1.39130616210.2%
 
1.51498019710.2%
 
-1.61848199410.2%
 
0.641973018610.2%
 
1.33413851310.2%
 
0.416193455510.2%
 
-1.12674021710.2%
 
-1.48509132910.2%
 
-0.0380023941410.2%
 
-0.877313613910.2%
 
-0.275083392910.2%
 
1.26058769210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.79238343210.2%
 
-1.78294575210.2%
 
-1.77982711810.2%
 
-1.77481722810.2%
 
-1.74748289610.2%
 
-1.74658155410.2%
 
-1.72993683810.2%
 
-1.7284183510.2%
 
-1.72597444110.2%
 
-1.68705427610.2%
 
ValueCountFrequency (%) 
1.68241214810.2%
 
1.67001020910.2%
 
1.65358591110.2%
 
1.65345919110.2%
 
1.63279175810.2%
 
1.6287540210.2%
 
1.62165474910.2%
 
1.61595535310.2%
 
1.60846579110.2%
 
1.60844671710.2%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3562461137771607e-10
Minimum-1.6843876838684082
Maximum1.7162481546401978
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:06.001907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.684387684
5-th percentile-1.563587666
Q1-0.8989574164
median0.0267132055
Q30.8561717421
95-th percentile1.569160408
Maximum1.716248155
Range3.400635839
Interquartile range (IQR)1.755129158

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)4244038822
Kurtosis-1.200139385
Mean2.356246114e-10
Median Absolute Deviation (MAD)0.8620143067
Skewness0.01270749226
Sum1.178123057e-07
Variance0.9999999962
2020-08-25T00:50:06.106469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.63671731910.2%
 
0.753236949410.2%
 
-0.0292572937910.2%
 
-0.700283408210.2%
 
-1.61191856910.2%
 
-0.100500889110.2%
 
0.80889165410.2%
 
-0.512017786510.2%
 
-1.40503239610.2%
 
1.48692977410.2%
 
0.50905418410.2%
 
1.12560296110.2%
 
-0.118492290410.2%
 
-0.243240505510.2%
 
0.778790950810.2%
 
-0.33416619910.2%
 
-1.68051314410.2%
 
-0.159201636910.2%
 
0.00686890352510.2%
 
-1.11866295310.2%
 
0.993482947310.2%
 
0.959308147410.2%
 
-0.00693765468910.2%
 
-1.05743539310.2%
 
1.36393630510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68438768410.2%
 
-1.6829409610.2%
 
-1.68246805710.2%
 
-1.68051314410.2%
 
-1.67855465410.2%
 
-1.67633509610.2%
 
-1.67402875410.2%
 
-1.66594195410.2%
 
-1.66049027410.2%
 
-1.6581480510.2%
 
ValueCountFrequency (%) 
1.71624815510.2%
 
1.71387815510.2%
 
1.70540142110.2%
 
1.70480155910.2%
 
1.69181144210.2%
 
1.68546307110.2%
 
1.68458628710.2%
 
1.68176865610.2%
 
1.67967295610.2%
 
1.65990674510.2%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.823086747762773e-10
Minimum-1.35409414768219
Maximum5.0445590019226065
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:06.228529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.354094148
5-th percentile-1.045168889
Q1-0.6773243546
median-0.2978366464
Q30.3600854203
95-th percentile2.104494417
Maximum5.044559002
Range6.39865315
Interquartile range (IQR)1.037409775

Descriptive statistics

Standard deviation0.9999999995
Coefficient of variation (CV)2073361007
Kurtosis3.579994541
Mean4.823086748e-10
Median Absolute Deviation (MAD)0.4563664049
Skewness1.742169981
Sum2.411543374e-07
Variance0.9999999991
2020-08-25T00:50:06.338455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.736327409710.2%
 
-0.124106332710.2%
 
-0.709278643110.2%
 
-0.796194255410.2%
 
-0.743461430110.2%
 
-0.795221507510.2%
 
-0.100867800410.2%
 
-0.580138444910.2%
 
-0.830085158310.2%
 
-0.244258195210.2%
 
0.419862657810.2%
 
-0.530583441310.2%
 
-0.921563684910.2%
 
-0.363925784810.2%
 
-1.13148844210.2%
 
-0.772778570710.2%
 
-0.879253923910.2%
 
-0.808914005810.2%
 
2.10418248210.2%
 
-0.234699875110.2%
 
2.84114289310.2%
 
-0.564782559910.2%
 
1.268121610.2%
 
0.319993138310.2%
 
0.111858792610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.35409414810.2%
 
-1.30027902110.2%
 
-1.28636407910.2%
 
-1.27300274410.2%
 
-1.26045119810.2%
 
-1.21649718310.2%
 
-1.19527387610.2%
 
-1.18114376110.2%
 
-1.16577684910.2%
 
-1.15026664710.2%
 
ValueCountFrequency (%) 
5.04455900210.2%
 
4.09535789510.2%
 
3.96696400610.2%
 
3.82054305110.2%
 
3.31864762310.2%
 
3.31652736710.2%
 
3.31486868910.2%
 
3.25953364410.2%
 
3.25535368910.2%
 
3.21461749110.2%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.098409001647042e-10
Minimum-1.7451423406600952
Maximum1.7886464595794678
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:06.454723image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.745142341
5-th percentile-1.569744283
Q1-0.8639251739
median-0.0003791655035
Q30.9294825792
95-th percentile1.539184076
Maximum1.78864646
Range3.5337888
Interquartile range (IQR)1.793407753

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1961396193
Kurtosis-1.203406422
Mean-5.098409002e-10
Median Absolute Deviation (MAD)0.8969272673
Skewness0.01979191934
Sum-2.549204501e-07
Variance1.000000001
2020-08-25T00:50:06.561744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.558589816110.2%
 
0.0266598034710.2%
 
-1.10219943510.2%
 
0.970381259910.2%
 
-1.04947817310.2%
 
-0.996418595310.2%
 
-0.186361387410.2%
 
1.70378375110.2%
 
0.443524986510.2%
 
0.108177222310.2%
 
-0.104534350310.2%
 
1.65288758310.2%
 
0.829443633610.2%
 
-1.35029625910.2%
 
1.44038224210.2%
 
-1.66421115410.2%
 
-0.245511084810.2%
 
-0.622422516310.2%
 
1.4284406910.2%
 
-1.11399066410.2%
 
-0.358098417510.2%
 
-1.6276714810.2%
 
0.184290975310.2%
 
-0.194683015310.2%
 
-0.325631856910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.74514234110.2%
 
-1.72450625910.2%
 
-1.71677327210.2%
 
-1.71432578610.2%
 
-1.70312881510.2%
 
-1.69831216310.2%
 
-1.68050885210.2%
 
-1.67842233210.2%
 
-1.6717212210.2%
 
-1.66809570810.2%
 
ValueCountFrequency (%) 
1.7886464610.2%
 
1.77631390110.2%
 
1.76171922710.2%
 
1.74980354310.2%
 
1.74758160110.2%
 
1.74593639410.2%
 
1.7372469910.2%
 
1.734842310.2%
 
1.71712899210.2%
 
1.70378375110.2%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4393590390682221e-09
Minimum-1.6549789905548096
Maximum1.702106237411499
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:06.837031image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.654978991
5-th percentile-1.480317467
Q1-0.8814996779
median-0.02111153305
Q30.898333177
95-th percentile1.577845693
Maximum1.702106237
Range3.357085228
Interquartile range (IQR)1.779832855

Descriptive statistics

Standard deviation0.9999999965
Coefficient of variation (CV)694753685.1
Kurtosis-1.250253152
Mean1.439359039e-09
Median Absolute Deviation (MAD)0.9091816992
Skewness0.0343637603
Sum7.196795195e-07
Variance0.999999993
2020-08-25T00:50:06.943781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.09374904610.2%
 
-0.588888227910.2%
 
1.22715091710.2%
 
-0.082848727710.2%
 
0.52178168310.2%
 
-0.136793509110.2%
 
0.528295099710.2%
 
-1.08142733610.2%
 
-0.768261134610.2%
 
-0.302093654910.2%
 
1.19124615210.2%
 
0.291170716310.2%
 
-0.947576165210.2%
 
0.522771894910.2%
 
-1.33265554910.2%
 
-0.143877536110.2%
 
-1.17451477110.2%
 
-1.2603995810.2%
 
-0.792310595510.2%
 
-1.29751634610.2%
 
-1.23883795710.2%
 
0.216635137810.2%
 
-0.610682070310.2%
 
-1.53523242510.2%
 
-0.644863426710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.65497899110.2%
 
-1.64020037710.2%
 
-1.63362944110.2%
 
-1.63184642810.2%
 
-1.63008701810.2%
 
-1.61490702610.2%
 
-1.60738575510.2%
 
-1.60614824310.2%
 
-1.60375070610.2%
 
-1.6035691510.2%
 
ValueCountFrequency (%) 
1.70210623710.2%
 
1.69876062910.2%
 
1.69260394610.2%
 
1.69061052810.2%
 
1.68715810810.2%
 
1.68267333510.2%
 
1.68080425310.2%
 
1.68077647710.2%
 
1.67044508510.2%
 
1.6535152210.2%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0682269930839539e-09
Minimum-1.6541656255722046
Maximum1.8663963079452517
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:07.056481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.654165626
5-th percentile-1.531659508
Q1-0.8685197383
median0.02385503519
Q30.782421425
95-th percentile1.637128174
Maximum1.866396308
Range3.520561934
Interquartile range (IQR)1.650941163

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)936130622.8
Kurtosis-1.111981417
Mean1.068226993e-09
Median Absolute Deviation (MAD)0.833755319
Skewness0.06982218256
Sum5.341134965e-07
Variance1.000000001
2020-08-25T00:50:07.162168image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.683313429410.2%
 
-1.48315024410.2%
 
1.82308447410.2%
 
-0.370289146910.2%
 
1.41280150410.2%
 
0.936616003510.2%
 
1.17843139210.2%
 
0.775741279110.2%
 
0.282402217410.2%
 
0.18027396510.2%
 
-0.226395443110.2%
 
-1.58186292610.2%
 
-0.89488780510.2%
 
-1.11399638710.2%
 
-0.340999573510.2%
 
-0.331237405510.2%
 
0.625392675410.2%
 
1.16675126610.2%
 
0.780641317410.2%
 
1.34448683310.2%
 
1.53589844710.2%
 
1.7527002110.2%
 
0.969034373810.2%
 
-0.4456125210.2%
 
1.61794710210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.65416562610.2%
 
-1.65172934510.2%
 
-1.64600074310.2%
 
-1.63964235810.2%
 
-1.63957929610.2%
 
-1.63694179110.2%
 
-1.63215374910.2%
 
-1.62867963310.2%
 
-1.62794339710.2%
 
-1.62736618510.2%
 
ValueCountFrequency (%) 
1.86639630810.2%
 
1.86473751110.2%
 
1.86451554310.2%
 
1.84784734210.2%
 
1.84106087710.2%
 
1.83899068810.2%
 
1.83054649810.2%
 
1.82659494910.2%
 
1.82308447410.2%
 
1.81583452210.2%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4363322407007216e-09
Minimum-1.672919511795044
Maximum1.7520099878311155
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:07.281826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.672919512
5-th percentile-1.491218132
Q1-0.9138976783
median-0.06782976538
Q30.8135706335
95-th percentile1.63276813
Maximum1.752009988
Range3.4249295
Interquartile range (IQR)1.727468312

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)696217748.9
Kurtosis-1.213047902
Mean1.436332241e-09
Median Absolute Deviation (MAD)0.8672285676
Skewness0.1023271694
Sum7.181661204e-07
Variance0.9999999985
2020-08-25T00:50:07.388872image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.511717855910.2%
 
1.69555115710.2%
 
-1.06314468410.2%
 
-1.56119811510.2%
 
-0.528646528710.2%
 
-1.37370610210.2%
 
-0.0552575886210.2%
 
-0.550181925310.2%
 
0.68099927910.2%
 
-0.373854786210.2%
 
1.39716100710.2%
 
-1.28779089510.2%
 
-0.127729460610.2%
 
-0.265796482610.2%
 
-1.32881712910.2%
 
-0.841858327410.2%
 
0.136080130910.2%
 
-1.4264837510.2%
 
0.233975142210.2%
 
1.08664989510.2%
 
0.381038516810.2%
 
1.63743209810.2%
 
-0.0612406916910.2%
 
1.57689702510.2%
 
0.478822171710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.67291951210.2%
 
-1.66568303110.2%
 
-1.66205549210.2%
 
-1.66091096410.2%
 
-1.65535175810.2%
 
-1.64368891710.2%
 
-1.63994383810.2%
 
-1.63657164610.2%
 
-1.62940275710.2%
 
-1.62777137810.2%
 
ValueCountFrequency (%) 
1.75200998810.2%
 
1.73376488710.2%
 
1.72901344310.2%
 
1.70780682610.2%
 
1.69589030710.2%
 
1.69555115710.2%
 
1.69538164110.2%
 
1.69508171110.2%
 
1.69096040710.2%
 
1.69032645210.2%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.676411092281342e-10
Minimum-1.7365250587463381
Maximum1.6840918064117432
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:07.511981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.736525059
5-th percentile-1.594117087
Q1-0.8893104792
median0.07314353436
Q30.829909116
95-th percentile1.522819573
Maximum1.684091806
Range3.420616865
Interquartile range (IQR)1.719219595

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-1761676498
Kurtosis-1.208452756
Mean-5.676411092e-10
Median Absolute Deviation (MAD)0.8823390007
Skewness-0.07194077981
Sum-2.838205546e-07
Variance1.000000003
2020-08-25T00:50:07.617285image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.16601264510.2%
 
0.395519375810.2%
 
1.12953305210.2%
 
1.20765924510.2%
 
1.48891389410.2%
 
0.972339093710.2%
 
1.59634327910.2%
 
1.08267903310.2%
 
1.61783659510.2%
 
-1.59830939810.2%
 
0.280267685710.2%
 
0.0890307351910.2%
 
-0.770841598510.2%
 
-0.468675494210.2%
 
1.43231368110.2%
 
0.682955801510.2%
 
-0.365907460510.2%
 
-0.890965044510.2%
 
-1.41246032710.2%
 
-0.975994944610.2%
 
0.425881087810.2%
 
1.21358430410.2%
 
-0.686871111410.2%
 
-0.639997184310.2%
 
1.62374544110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73652505910.2%
 
-1.72249245610.2%
 
-1.71659743810.2%
 
-1.70709228510.2%
 
-1.70266783210.2%
 
-1.70164346710.2%
 
-1.6931159510.2%
 
-1.68503534810.2%
 
-1.6819896710.2%
 
-1.67792546710.2%
 
ValueCountFrequency (%) 
1.68409180610.2%
 
1.67904627310.2%
 
1.67046105910.2%
 
1.66614437110.2%
 
1.66363084310.2%
 
1.65285408510.2%
 
1.64052224210.2%
 
1.63801324410.2%
 
1.62571966610.2%
 
1.62374544110.2%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.60656189918518e-10
Minimum-1.7601052522659302
Maximum1.798053503036499
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:07.733839image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.760105252
5-th percentile-1.552590024
Q1-0.8404384106
median-0.02178665902
Q30.8653997332
95-th percentile1.577342463
Maximum1.798053503
Range3.558158755
Interquartile range (IQR)1.705838144

Descriptive statistics

Standard deviation0.9999999975
Coefficient of variation (CV)-1783624288
Kurtosis-1.155880727
Mean-5.606561899e-10
Median Absolute Deviation (MAD)0.8417366156
Skewness0.0357105106
Sum-2.80328095e-07
Variance0.9999999949
2020-08-25T00:50:07.850851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.447279512910.2%
 
-1.2036405810.2%
 
-0.411285102410.2%
 
-1.60022139510.2%
 
-0.741517186210.2%
 
0.273592889310.2%
 
1.36976981210.2%
 
-1.42641174810.2%
 
0.867846667810.2%
 
0.558913469310.2%
 
-0.852861642810.2%
 
0.864584088310.2%
 
-0.0955000221710.2%
 
0.408410161710.2%
 
1.76745140610.2%
 
1.24932825610.2%
 
-1.37182569510.2%
 
-0.0393524542510.2%
 
-0.839453041610.2%
 
0.367845684310.2%
 
1.05732572110.2%
 
-0.0609721504210.2%
 
-0.86850953110.2%
 
-0.654644668110.2%
 
-1.13053357610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.76010525210.2%
 
-1.75754094110.2%
 
-1.73747491810.2%
 
-1.72006273310.2%
 
-1.69497907210.2%
 
-1.69401645710.2%
 
-1.6931234610.2%
 
-1.68125212210.2%
 
-1.65333855210.2%
 
-1.65187513810.2%
 
ValueCountFrequency (%) 
1.79805350310.2%
 
1.79098725310.2%
 
1.77578413510.2%
 
1.7692930710.2%
 
1.76842689510.2%
 
1.76745140610.2%
 
1.76623046410.2%
 
1.75078272810.2%
 
1.71270477810.2%
 
1.71079194510.2%
 

oz48
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1080410331487656e-09
Minimum-1.6106013059616089
Maximum1.750439167022705
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:07.966005image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.610601306
5-th percentile-1.453849006
Q1-0.8544997126
median-0.06832784787
Q30.8876097649
95-th percentile1.615944541
Maximum1.750439167
Range3.361040473
Interquartile range (IQR)1.742109478

Descriptive statistics

Standard deviation0.9999999979
Coefficient of variation (CV)-902493651.4
Kurtosis-1.236722702
Mean-1.108041033e-09
Median Absolute Deviation (MAD)0.8455058299
Skewness0.1489808028
Sum-5.540205166e-07
Variance0.9999999959
2020-08-25T00:50:08.083962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.391875594910.2%
 
-0.912434995210.2%
 
-1.41856551210.2%
 
-1.10020697110.2%
 
1.74963915310.2%
 
1.57873237110.2%
 
0.886046469210.2%
 
-0.317535966610.2%
 
1.65491068410.2%
 
0.965152859710.2%
 
-0.387850999810.2%
 
1.63930022710.2%
 
-1.5689948810.2%
 
-1.45376598810.2%
 
1.53971171410.2%
 
0.80794411910.2%
 
0.19656683510.2%
 
1.3639371410.2%
 
1.14323723310.2%
 
-0.651698470110.2%
 
0.364912867510.2%
 
-0.775725901110.2%
 
0.484543770610.2%
 
0.600925445610.2%
 
1.35615098510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.61060130610.2%
 
-1.60406553710.2%
 
-1.60062134310.2%
 
-1.59345185810.2%
 
-1.57384657910.2%
 
-1.5689948810.2%
 
-1.56664657610.2%
 
-1.55838584910.2%
 
-1.55275917110.2%
 
-1.54381895110.2%
 
ValueCountFrequency (%) 
1.75043916710.2%
 
1.74963915310.2%
 
1.7413537510.2%
 
1.73718130610.2%
 
1.73053765310.2%
 
1.72601234910.2%
 
1.72380316310.2%
 
1.72181880510.2%
 
1.71663153210.2%
 
1.69467198810.2%
 

target
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.43423676313148e-09
Minimum-2.469585657119751
Maximum4.258646965026856
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:50:08.199086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.469585657
5-th percentile-1.854222
Q1-0.6257032305
median0.1366949677
Q30.6260641664
95-th percentile1.391340625
Maximum4.258646965
Range6.728232622
Interquartile range (IQR)1.251767397

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-697234952.5
Kurtosis0.6604330503
Mean-1.434236763e-09
Median Absolute Deviation (MAD)0.59754695
Skewness-0.01133137357
Sum-7.171183816e-07
Variance1.000000003
2020-08-25T00:50:08.306764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.227071002110.2%
 
0.323420792810.2%
 
-0.76889020210.2%
 
-0.435714900510.2%
 
-0.578462064310.2%
 
0.700534224510.2%
 
-1.67841374910.2%
 
0.766943931610.2%
 
1.04561126210.2%
 
0.0917535573210.2%
 
1.21163332510.2%
 
0.104448169510.2%
 
-0.239590510710.2%
 
0.409845560810.2%
 
2.58736276610.2%
 
-0.382888019110.2%
 
3.28670883210.2%
 
0.118654549110.2%
 
0.741580843910.2%
 
-0.095017217110.2%
 
-0.711309909810.2%
 
0.585335373910.2%
 
2.54197120710.2%
 
0.902719616910.2%
 
0.87342393410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.46958565710.2%
 
-2.38294529910.2%
 
-2.31286239610.2%
 
-2.28254938110.2%
 
-2.27556610110.2%
 
-2.2263424410.2%
 
-2.19483375510.2%
 
-2.15420174610.2%
 
-2.15173697510.2%
 
-2.10184788710.2%
 
ValueCountFrequency (%) 
4.25864696510.2%
 
3.28670883210.2%
 
2.96834039710.2%
 
2.60570120810.2%
 
2.58736276610.2%
 
2.54197120710.2%
 
2.52555203410.2%
 
2.49127030410.2%
 
2.39493846910.2%
 
2.33236360510.2%
 

Interactions

2020-08-25T00:49:03.272472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:03.416511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:03.554851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:03.704616image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:03.861991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:04.001185image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:04.139706image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:04.280992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:04.419153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:04.558228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:04.697573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:04.837646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:04.974418image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:05.117593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:05.257344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:05.401677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:05.543064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:05.682340image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:05.820505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:05.966681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:06.108112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:06.248915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:06.388259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:06.527829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:06.666749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:06.807442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:06.946591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:07.258513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:07.402971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:07.541797image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:07.686264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:07.829293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:07.967365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:08.107371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:08.247729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:08.391583image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:08.532919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:08.679946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:08.829101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:08.969199image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:09.108587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:09.246867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:09.388416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:09.528255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:09.669203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:09.811870image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:09.952363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:10.092662image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:10.231980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:10.386171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:10.532523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:10.671890image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:10.806140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:10.951926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:11.088481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:11.228643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:11.535229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:11.673343image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:11.815118image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:11.955293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:12.092733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:12.234248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:12.376385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:12.515794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:12.652429image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:12.788255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:12.927418image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:13.068660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:13.208703image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:13.345851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:13.484464image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:13.623966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:13.780780image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:13.923957image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:14.063682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:14.205844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:49:45.109441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:45.251056image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:45.391965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:45.539253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:45.693377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:45.835512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:46.160827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:46.310306image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:46.459113image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:46.600199image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:46.738481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:46.877587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:47.020830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:47.172638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:47.313086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:47.458014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:47.603607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:47.746227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:47.889946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:48.028718image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:48.164485image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:48.300489image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:48.438702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:48.577957image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:48.726548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:48.866055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:49.005223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:49.161846image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:49.301856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:49.440943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:49.578955image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:49.725745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:49.872177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:50.017558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:50.156133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:50.504859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:50.642858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:50.780953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:50.919298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:51.061107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:51.217082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:51.359151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:51.512518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:51.661048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:51.803532image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:51.947043image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:52.095403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:52.245964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:52.388807image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:52.528100image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:52.666979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:52.806235image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:52.944317image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:53.089264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:53.228950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:53.376349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:53.525601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:53.673320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:53.825631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:53.964560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:54.106724image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:54.247833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:54.388294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:54.524672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:54.840547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:54.986370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:55.135630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:55.272770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:55.410041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:55.547994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:55.686844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:55.830385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:55.983958image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:56.176356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:56.318467image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:56.483884image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:56.661171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:56.802697image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:56.941528image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:57.084251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:57.233011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:57.372629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:57.511112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:57.654001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:57.801953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:57.950953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:58.088090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:58.230046image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:58.366329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:58.508183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:58.642824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:58.798342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:58.934705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:59.255058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:59.396067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:59.541824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:59.684368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:59.823106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:49:59.958077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:00.095010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:00.232948image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:00.368955image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:00.515433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:00.671361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:00.817007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:00.955925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:01.100492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:01.243110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:01.379353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:01.532132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:01.668341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:01.807630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:01.950155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:02.099646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:02.240121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:02.380003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:02.513833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:02.651253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:50:08.459372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:50:08.775793image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:50:09.081937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:50:09.387159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:50:02.941416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:50:03.408193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
00.935052-1.373841-1.6241131.3168541.603175-1.224099-0.752516-0.3208471.274225-0.030542-1.5237790.1751171.506866-0.7735481.5997550.0689350.3807200.171312-1.4303870.929414
10.0368880.6097770.1404941.262483-0.511451-0.8001980.361769-0.110743-1.612159-1.202783-1.6581480.095058-0.3640281.098279-0.570013-1.426484-1.1654151.775784-0.8316140.482308
20.158861-0.576673-1.449449-0.0287830.1513690.158411-1.370465-1.0719801.3143931.0415620.529964-0.601820-1.2024471.094141-0.734082-1.223912-0.456001-1.583584-0.514898-0.122404
31.0773761.2197821.441215-0.9457161.7967341.521371-1.323503-1.355276-0.929544-1.1989940.8626863.0655740.820775-0.8742090.8663261.634509-0.1849980.074809-1.1775312.228253
41.0826561.216210-1.090461-0.0406201.413135-0.986316-0.586759-0.8309431.558069-1.746582-0.1008921.044940-0.7166480.4915061.166751-0.3434180.283338-0.704194-0.8948901.217420
5-0.6798401.107469-0.050594-0.1018950.0694140.840909-1.1337041.6506810.521139-0.273297-1.625527-0.360131-0.1736920.0570500.4570550.8677860.2905420.4677160.5191930.859473
6-1.498277-0.986466-0.5334060.748107-1.3513671.5625751.4653610.6143760.386339-1.580735-1.241075-0.9701211.197084-1.205510-0.301483-1.5125291.1643670.1810510.7314780.397930
7-1.6129310.4923770.406939-0.9749051.269370-0.7751241.2373501.2834211.0633571.3494261.448015-0.831369-0.337684-1.081427-1.481854-0.1266390.0747761.0091770.5205200.323421
8-0.4643661.539320-0.652012-0.221728-1.5549580.726579-1.2452601.2967431.581902-1.581461-1.089274-0.930527-0.3299701.5312720.914216-1.2877910.1281881.690988-0.5987370.053514
90.492620-0.945398-1.5521180.023576-0.040503-0.1303541.326444-1.634977-0.7877291.3763501.4317250.046386-1.121875-0.8540631.814068-0.419667-0.8083860.079815-1.1954991.272584

Last rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
4901.1585620.389049-1.475731-1.649768-0.703956-1.5637860.509650-0.300873-1.716422-0.854806-1.6659420.800543-0.4717920.2209790.782765-0.5286471.146411-0.1841030.027708-0.435715
4911.4847820.209906-0.0782830.4956320.141345-0.268762-0.9623960.501171-0.354977-1.774817-0.1229580.494512-0.104873-1.3533070.787851-0.857029-0.0253561.697223-0.7351140.431693
492-1.0289211.026537-0.003767-1.4529111.5956800.8219551.3543781.6493561.154759-1.265921-1.011286-0.812394-0.1287690.803408-1.375329-0.082472-0.4339730.8564670.926968-2.282549
493-0.1882491.5820771.013626-0.5502641.479930-1.2606071.400227-0.292253-1.228809-0.7134890.7787910.734716-0.0567301.344460-0.060438-0.055258-0.651936-0.2084270.456797-1.488176
494-0.4390190.7498420.4909901.243271-0.5929730.0897210.1091071.653507-0.653906-1.6870540.470861-0.4202761.447114-1.1679981.461649-0.8971100.433866-0.757259-0.9124350.588374
4951.155131-1.576314-1.628802-1.118184-0.7378430.8620530.137235-1.4730970.5014931.3366680.999311-0.609352-0.2298950.053128-0.951907-1.1458310.8349910.287629-0.8459160.026674
496-0.212070-0.1316170.445702-1.7313241.179219-1.062847-0.673625-0.309693-0.997609-1.425501-1.116087-0.5244170.1654130.941824-0.082629-0.870318-0.975995-0.6546451.657227-0.484360
497-0.944034-0.190419-0.964350-0.792313-1.411626-0.1959780.048540-1.633338-0.7884141.388338-0.750752-0.541773-0.3938241.702106-1.511036-0.841858-0.6055581.790987-1.2061660.182010
4981.177746-1.0913140.8772060.8652470.5547000.652324-0.1069260.555267-1.003378-0.2034140.157354-0.893962-1.226013-1.599948-1.408358-0.446814-0.9512730.778458-1.5666470.394214
499-0.6790561.5375630.9973281.562440-0.8684200.237175-0.2830960.466854-1.6410810.719572-0.500874-0.1210011.473003-0.052400-0.5992821.2402110.697562-0.5861060.002424-2.194834